Search Results for author:
Found 4 papers, 0 papers with code
A Deep Content-Based Model for Persian Rumor Verification
Therefore, it is important to detect and verify the rumors in the early stage of their spreading.
Ranked #1 on
Rumour Detection
on Sepehr_RumTel01
A semi-supervised model for Persian rumor verification based on content information
It indicates that speech act and WS alongside semantic contextual vectors are helpful features in the rumor verification task.
Ranked #2 on
Rumour Detection
on Sepehr_RumTel01
A speech act classifier for persian texts and its application in identify speech act of rumors
Also, the evaluation results indicate that SA as a distinctive feature between rumors and non-rumors improves the accuracy of rumor identification from 0. 762 (based on common context features) to 0. 791 (the combination of common context features and four SA classes).
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors
The experimental results demonstrate that the proposed method using RF and SVM as the best classifiers achieved a state-of-the-art performance with an accuracy of 0. 95 for classification of Persian SAs.
Ranked #4 on
Rumour Detection
on Sepehr_RumTel01
